A unified framework and large-scale comparison of graph-based RAG methods on QA tasks yields new high-performing variants obtained by recombining existing components.
The dawn of natural language to sql: Are we fully ready?
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
KaSLA applies knapsack optimization hierarchically to schema linking for LLM text-to-SQL, claiming better results than large models and improved SQL generation on Spider and BIRD.
DataMagic generates narrative data videos from tabular data and queries via DVSpec declarative bindings and a Generate-then-Orchestrate multi-agent pipeline.
XiYan-SQL achieves SOTA Text-to-SQL accuracy by combining schema filtering, a multi-generator ensemble fine-tuned on varied SQL formats, and a selection model.
citing papers explorer
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In-depth Analysis of Graph-based RAG in a Unified Framework
A unified framework and large-scale comparison of graph-based RAG methods on QA tasks yields new high-performing variants obtained by recombining existing components.
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Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation
KaSLA applies knapsack optimization hierarchically to schema linking for LLM text-to-SQL, claiming better results than large models and improved SQL generation on Spider and BIRD.
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DataMagic: Transforming Tabular Data into Data Insight Video
DataMagic generates narrative data videos from tabular data and queries via DVSpec declarative bindings and a Generate-then-Orchestrate multi-agent pipeline.
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XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
XiYan-SQL achieves SOTA Text-to-SQL accuracy by combining schema filtering, a multi-generator ensemble fine-tuned on varied SQL formats, and a selection model.